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1.
Adv Anat Pathol ; 26(1): 31-39, 2019 Jan.
Article in English | MEDLINE | ID: mdl-30256228

ABSTRACT

Although pathologic lesions in the pancreas are 3-dimensional (3D) complex structures, we currently use thin 2D hematoxylin and eosin stained slides to study and diagnose pancreatic pathology. Two technologies, tissue clearing and advanced microscopy, have recently converged, and when used together they open the remarkable world of 3D anatomy and pathology to pathologists. Advances in tissue clearing and antibody penetration now make even dense fibrotic tissues amenable to clearing, and light sheet and confocal microscopies allow labeled cells deep within these cleared tissues to be visualized. Clearing techniques can be categorized as solvent-based or aqueous-based techniques, but both clearing methods consist of 4 fundamental steps, including pretreatment of specimens, permeabilization and/or removal of lipid, immunolabeling with antibody penetration, and clearing by refractive index matching. Specialized microscopes, including the light sheet microscope, the 2-photon microscope, and the confocal microscope, can then be used to visualize and evaluate the 3D histology. Both endocrine and exocrine pancreas pathology can then be visualized. The application of labeling and clearing to surgically resected human pancreatic parenchyma can provide detailed visualization of the complexities of normal pancreatic anatomy. It also can be used to characterize the 3D architecture of disease processes ranging from precursor lesions, such as pancreatic intraepithelial neoplasia lesions and intraductal papillary mucinous neoplasms, to infiltrating pancreatic ductal adenocarcinomas. The evaluation of 3D histopathology, including pathology of the pancreatic lesions, will provide new insights into lesions that previously were seen, and thought of, only in 2 dimensions.


Subject(s)
Carcinoma, Pancreatic Ductal/pathology , Imaging, Three-Dimensional , Microscopy, Confocal , Pancreas/pathology , Pancreatic Neoplasms/pathology , Animals , Carcinoma, Pancreatic Ductal/diagnosis , Humans , Imaging, Three-Dimensional/methods , Microscopy, Confocal/methods , Pancreatic Neoplasms/diagnosis , Parenchymal Tissue/pathology , Pancreatic Neoplasms
2.
Nat Commun ; 8(1): 1093, 2017 10 23.
Article in English | MEDLINE | ID: mdl-29061967

ABSTRACT

High-grade serous ovarian carcinoma (HGSOC) is the most frequent type of ovarian cancer and has a poor outcome. It has been proposed that fallopian tube cancers may be precursors of HGSOC but evolutionary evidence for this hypothesis has been limited. Here, we perform whole-exome sequence and copy number analyses of laser capture microdissected fallopian tube lesions (p53 signatures, serous tubal intraepithelial carcinomas (STICs), and fallopian tube carcinomas), ovarian cancers, and metastases from nine patients. The majority of tumor-specific alterations in ovarian cancers were present in STICs, including those affecting TP53, BRCA1, BRCA2 or PTEN. Evolutionary analyses reveal that p53 signatures and STICs are precursors of ovarian carcinoma and identify a window of 7 years between development of a STIC and initiation of ovarian carcinoma, with metastases following rapidly thereafter. Our results provide insights into the etiology of ovarian cancer and have implications for prevention, early detection and therapeutic intervention of this disease.


Subject(s)
Cystadenocarcinoma, Serous/genetics , Fallopian Tube Neoplasms/pathology , Fallopian Tubes/pathology , Neoplasms, Cystic, Mucinous, and Serous/pathology , Ovarian Neoplasms/genetics , Alleles , DNA Copy Number Variations/genetics , Fallopian Tube Neoplasms/metabolism , Fallopian Tubes/metabolism , Female , Humans , Immunohistochemistry , Laser Capture Microdissection , Neoplasms, Cystic, Mucinous, and Serous/metabolism
3.
Nature ; 526(7572): 263-7, 2015 Oct 08.
Article in English | MEDLINE | ID: mdl-26416732

ABSTRACT

Colorectal cancer is the third most common cancer worldwide, with 1.2 million patients diagnosed annually. In late-stage colorectal cancer, the most commonly used targeted therapies are the monoclonal antibodies cetuximab and panitumumab, which prevent epidermal growth factor receptor (EGFR) activation. Recent studies have identified alterations in KRAS and other genes as likely mechanisms of primary and secondary resistance to anti-EGFR antibody therapy. Despite these efforts, additional mechanisms of resistance to EGFR blockade are thought to be present in colorectal cancer and little is known about determinants of sensitivity to this therapy. To examine the effect of somatic genetic changes in colorectal cancer on response to anti-EGFR antibody therapy, here we perform complete exome sequence and copy number analyses of 129 patient-derived tumour grafts and targeted genomic analyses of 55 patient tumours, all of which were KRAS wild-type. We analysed the response of tumours to anti-EGFR antibody blockade in tumour graft models and in clinical settings and functionally linked therapeutic responses to mutational data. In addition to previously identified genes, we detected mutations in ERBB2, EGFR, FGFR1, PDGFRA, and MAP2K1 as potential mechanisms of primary resistance to this therapy. Novel alterations in the ectodomain of EGFR were identified in patients with acquired resistance to EGFR blockade. Amplifications and sequence changes in the tyrosine kinase receptor adaptor gene IRS2 were identified in tumours with increased sensitivity to anti-EGFR therapy. Therapeutic resistance to EGFR blockade could be overcome in tumour graft models through combinatorial therapies targeting actionable genes. These analyses provide a systematic approach to evaluating response to targeted therapies in human cancer, highlight new mechanisms of responsiveness to anti-EGFR therapies, and delineate new avenues for intervention in managing colorectal cancer.


Subject(s)
Colorectal Neoplasms/drug therapy , Colorectal Neoplasms/genetics , Drug Resistance, Neoplasm/drug effects , Drug Resistance, Neoplasm/genetics , ErbB Receptors/antagonists & inhibitors , Genome, Human/genetics , Genomics , Animals , Antibodies, Monoclonal/pharmacology , Antibodies, Monoclonal/therapeutic use , Antineoplastic Agents/pharmacology , Antineoplastic Agents/therapeutic use , Cetuximab/pharmacology , Cetuximab/therapeutic use , Colorectal Neoplasms/metabolism , DNA Copy Number Variations/genetics , ErbB Receptors/chemistry , ErbB Receptors/genetics , Exome/genetics , Female , Humans , Insulin Receptor Substrate Proteins/genetics , MAP Kinase Kinase 1/genetics , Mice , Molecular Targeted Therapy , Mutation/genetics , Panitumumab , Proto-Oncogene Proteins p21(ras)/genetics , Receptor, ErbB-2/genetics , Receptor, Fibroblast Growth Factor, Type 1/genetics , Receptor, Platelet-Derived Growth Factor alpha/genetics , Xenograft Model Antitumor Assays
4.
Nat Commun ; 6: 7686, 2015 Jul 07.
Article in English | MEDLINE | ID: mdl-26154128

ABSTRACT

Pancreatic adenocarcinoma has the worst mortality of any solid cancer. In this study, to evaluate the clinical implications of genomic alterations in this tumour type, we perform whole-exome analyses of 24 tumours, targeted genomic analyses of 77 tumours, and use non-invasive approaches to examine tumour-specific mutations in the circulation of these patients. These analyses reveal somatic mutations in chromatin-regulating genes MLL, MLL2, MLL3 and ARID1A in 20% of patients that are associated with improved survival. We observe alterations in genes with potential therapeutic utility in over a third of cases. Liquid biopsy analyses demonstrate that 43% of patients with localized disease have detectable circulating tumour DNA (ctDNA) at diagnosis. Detection of ctDNA after resection predicts clinical relapse and poor outcome, with recurrence by ctDNA detected 6.5 months earlier than with CT imaging. These observations provide genetic predictors of outcome in pancreatic cancer and have implications for new avenues of therapeutic intervention.


Subject(s)
Gene Expression Regulation, Neoplastic/physiology , Pancreatic Neoplasms/blood , Pancreatic Neoplasms/genetics , Biomarkers, Tumor , DNA/blood , Genomics , Humans , Predictive Value of Tests , Recurrence , Treatment Outcome
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